Telephone Speech Multi-Keyword Spotting Using Fuzzy Search Algorithm and Prosodic Verification

Chung Hsien Wu, Yeou Jiunn Chen, Yu Chun Hung

研究成果: Paper同行評審

1 引文 斯高帕斯(Scopus)

摘要

In this paper a fuzzy search algorithm is proposed to deal with the recognition error for telephone speech. Since the prosodic information is a very special and important feature for Mandarin speech, we integrate the prosodic information into keyword verification. For multi-keyword detection, we define a keyword relation and a weighting function for reasonable keyword combinations. In the keyword recognizer, 94 INITIAL and 38 FINAL context-dependent Hidden Markov Models (HMM's) are used to construct the phonetic recognizer. For prosodic verification, a total of 175 context-dependent HMM's and five anti-prosodic HMM's are used. In this system, 1275 faculty names and department names are selected as the keyword. Using a test set of 3595 conversional speech utterance from 37 speakers (21 male, 16 female), the proposed fuzzy search algorithm and prosodic verification can reduce the error rate from 17.64% to 11.29% for multiple keywords embedded in non-keyword speech.

原文English
出版狀態Published - 1998
事件5th International Conference on Spoken Language Processing, ICSLP 1998 - Sydney, Australia
持續時間: 1998 11月 301998 12月 4

Conference

Conference5th International Conference on Spoken Language Processing, ICSLP 1998
國家/地區Australia
城市Sydney
期間98-11-3098-12-04

All Science Journal Classification (ASJC) codes

  • 語言與語言學
  • 語言和語言學

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